iWRAP: An interface threading approach with application to prediction of cancer-related protein-protein interactions.

iWRAP: An interface threading approach for protein-protein interaction prediction

Multimeric threading-based prediction of proteinâ•fiprotein interactions on a genomic scale: Application to the Saccharomyces cerevisiae proteome

Multimeric threading-based prediction of protein–protein interactions on a genomic scale: Application to the Saccharomyces cerevisiae proteome.

LTHREADER: prediction of extracellular ligand-receptor interactions in cytokines using localized threading.

Identification of extracellular ligand-receptor interactions is important for drug design and the treatment of diseases. Difficulties in detecting these interactions using high-throughput experimental techniques motivate the development of computational prediction methods. We propose a novel threading algorithm, LTHREADER, which generates accurate local sequence-structure interface alignments a...

Prediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks

Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...

META-PP: single interface to crucial prediction servers

The META-PP server (http://cubic.bioc.columbia.edu/meta/) simplifies access to a battery of public protein structure and function prediction servers by providing a common and stable web-based interface. The goal is to make these powerful and increasingly essential methods more readily available to nonexpert users and the bioinformatics community at large. At present META-PP provides access to a...